Evidence map›Paper›PMID 21685089›Full record

ArticleBioinformatics (Oxford, England)2011

Reconstruction of genealogical relationships with applications to Phase III of HapMap.

Sofia Kyriazopoulou-Panagiotopoulou, Dorna Kashef Haghighi, Sarah J Aerni, Andreas Sundquist, Sivan Bercovici, Serafim Batzoglou

Abstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Sofia Kyriazopoulou-PanagiotopoulouDepartment of Computer Science, Biomedical Informatics Training Program, Stanford University School of Medicine, Stanford, CA 94305, USA. sofiakp@stanford.edu
Dorna Kashef Haghighi
Sarah J Aerni
Andreas Sundquist
Sivan Bercovici
Serafim Batzoglou

Funding

A Strategy for High Quality Clinical Resequencing of the Human GenomeRC2HG005570 · NHGRI · STANFORD UNIVERSITY · PI DAVIS, RONALD WAYNE · 2009 to 2010
$2.8M
A Universal Front End to Improve Assembly Outcomes for Next-Gen Sequencing and ReRC2HG005596 · NHGRI · STANFORD UNIVERSITY · PI BARRON, ANNELISE EMILY, BATZOGLOU, SERAFIM · 2009 to 2010
$1.5M
NHGRI NIH HHS HG005570-01NHGRI NIH HHS HG005596-01NHGRI NIH HHS RC2 HG005570NHGRI NIH HHS RC2 HG005596
6 · The paper itself

Abstract

motivationAccurate inference of genealogical relationships between pairs of individuals is paramount in association studies, forensics and evolutionary analyses of wildlife populations. Current methods for relationship inference consider only a small set of close relationships and have limited to no power to distinguish between relationships with the same number of meioses separating the individuals under consideration (e.g. aunt-niece versus niece-aunt or first cousins versus great aunt-niece).

resultsWe present CARROT (ClAssification of Relationships with ROTations), a novel framework for relationship inference that leverages linkage information to differentiate between rotated relationships, that is, between relationships with the same number of common ancestors and the same number of meioses separating the individuals under consideration. We demonstrate that CARROT clearly outperforms existing methods on simulated data. We also applied CARROT on four populations from Phase III of the HapMap Project and detected previously unreported pairs of third- and fourth-degree relatives. AVAILABILITY: Source code for CARROT is freely available at http://carrot.stanford.edu. CONTACT: sofiakp@stanford.edu.

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AlgorithmsGenealogy and HeraldryAnimalsHumansMarkov Chains

Identifiers

PMID21685089
PMCPMC3117348

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.